Get Comfortable with Being Uncomfortable, Part 1: Valuations

This is the first of a three-part series we’re affectionately calling “How to Get Comfortable with Being Uncomfortable.” The series covers the tremendous headwinds traditional investors will likely face in the next 10 years and the steps required to turn a bad situation into a great opportunity to thrive not just in the next cycle but for the rest of their investment lives.  These steps – set realistic expectations, diversify as much as you can handle, and take advantage of others’ mistakes with factor investing – are designed to help investors through whatever the future holds.

We Can’t Discuss Solutions Until We Admit Valuations are a Problem

When most investors think about “risk reduction” their minds immediately conjure volatility and losses. However, as advisors we should consider a broader definition of risk that connects more directly to how clients feel about their investments. Specifically, advisors should define risk as the probability that clients won’t meet their financial goals. Advisors should have the singular objective of minimizing this risk.

This new definition of risk profoundly shifts the conversation away from volatility and losses, and toward strategies that achieve minimum required returns, in a relatively stable sequence. From this new perspective, it is not sufficient to manage risk and provide downside protection; an investment strategy must also produce returns that fulfill long-term goals. Moreover, the strategy must account for the fact that investors are susceptible to shorter-term dynamics, such as tracking error relative to domestic benchmarks, which may run counter to the objective of long-term wealth maximization. In other words, advisors need to build portfolios that are financially optimal, but that investors can stick with over time.

Advisors must look to alternative sources of return to fill the gap, but this presents a different complication. These alternative sources of return will behave very differently than what clients are used to. They also come with large tracking errors to typical benchmarks. As a result, clients run a high risk of abandoning these strategies before they have a chance to perform.

This is not a trivial undertaking. In this three part series, we will discuss the tradeoffs that investors currently face in balancing a preference for simple and familiar solutions against the reality of low prospective returns on traditional portfolios. To boil it down, investors who insist on conventional investment solutions must be prepared to make sacrifices in other areas, because these portfolios may fall well short of delivering the returns they need. Investors who choose the conventional route must be prepared to buckle down, save considerably more of their annual income, and lower lifestyle expectations. This is a perfectly legitimate choice, and we believe most investors will no doubt choose this route, mostly by default.

However, as we will elucidate in parts 2 and 3 of this series, there may still be opportunities to meet financial objectives with robust portfolio growth, for those investors who are able to think differently about the problem. In other words, investors who embrace unconventional, but well-founded investment strategies may be able to preserve their lifestyle objectives. But investors must be prepared for the fact that these alternative strategies will behave very differently than what they are used to. Worse, their portfolios will rise and fall out of sync with the portfolios of their friends and peers. As a result, clients run a high risk of abandoning these strategies before they have a chance to perform.

The current environment presents unique challenges that make it extremely difficult to engineer a traditional portfolio with expected long-term returns that are consistent with client objectives. This first article provides an analytical framework for setting expectations about future returns on traditional asset classes.

Bond Yields and the Equity Risk Premium Imply Low Future Returns

Expected bond returns are least controversial, so let’s start there. The weighted average yield-to-maturity for the widely held iShares U.S. Aggregate Bond Index ETF is 2.55% net of expenses, with a weighted average maturity of eight years. The Barclays Global Aggregate yields just 1.66%. This is a good proxy for the actual return that investors in this fund might expect over the next decade or so[1].

What about stocks? Let’s start with an unbiased assumption that the equity sleeve of a typical investment portfolio will earn the historical long-term excess return of a globally diversified equity portfolio. Global equities have produced compound returns about 4.2% above T-bills over the long-term, and 3.2% above 10-year Treasury bonds. T-Bills currently yield about 0.5% and benchmark Treasury bonds yield 2.35%, suggesting that a diversified global stock portfolio should earn nominal returns between 4.7% – 5.5% over the next decade or so. Let’s assume 5.5% to err on the side of optimism.

Let’s examine what these expected returns from stocks and bonds might mean for traditional portfolios over the next ten or fifteen years. To achieve a 5% nominal return, an investor would need to own a pure equity portfolio, with all of its accompanying risks. A traditional 60/40 portfolio might be expected produce about 60% * 5.5% return + 40% * 2% return = 3.3% + 0.8% = 4.1% nominal.

However, the expectations above assume that there are no other factors that might bias expectations in one direction or another. While the mathematics of bond returns provide relatively accurate forecasts based on starting yields, forecasting equity returns is a more daunting exercise. There are some tools that can help to move the expectation needle, but unfortunately they do not paint a very optimistic picture at present.

High Valuations Also Imply Low Future Returns

Stocks are expected to produce an average excess return only when they are priced near average valuations. But many stock markets are currently quite expensive. U.S. stocks, which represent over half of total global stock market capitalization, are trading near record valuations according to some measures. For example, the S&P 500 U.S. stock market index is trading near its 2000 bubble peak as a multiple of total revenues (Figure 1). Should stocks retrace to average valuations by this measure in an acute correction, investors would endure a 48% decline. If they were to mean-revert over a longer horizon, they would face a material headwind on long-term returns.

Figure 1. S&P 500 Index and Price-to-Sales Ratio, 1955-2016

Source: Ned Davis Research

Another popular measure of stock market valuation is the cyclically adjusted price-to-earnings (CAPE) ratio, proposed by Dr. Robert Shiller. This measure accounts for the volatility of earnings through a full business cycle by taking the average of aggregate earnings over the past decade, adjusted for inflation.

By this metric, U.S. stocks are also expensive relative to history, sitting at a ratio of 28.5, about 70% above their long-term average value of 16.7.  Some argue that the equilibrium CAPE should rise through time for structural reasons, such as declining economic volatility, and improved stock market transparency and liquidity. This would make the long-term average less relevant. To account for this, we found the line of best fit describing the steady growth in CAPE over time. Even accounting for trend growth in multiples, stock valuations are still 35% above their neutral value (Figure 2).

Figure 2. S&P 500 Cyclically Adjusted Earnings Ratio, 1881 – 2016

Source: ReSolve Asset Management. Data from Robert Shiller

While it has paid to be optimistic about stocks over the past century, it is also prudent to be realistic about the probabilities. It is highly likely that investors will earn about 2% on high-grade fixed income, and probably much less than 6% per year on stocks over the next decade or more. In the optimistic case that equities revert to average trend valuations over the next fifteen years, this would represent a 35%/15 = 2.3% per year drag on equity returns. As a result, equity return expectations would drop from 5.5% per year to 3.2%. You can see how, after adjusting for inflation and fees, investors will be hard pressed to earn more than 2% per year on traditional portfolios.

Hopefully we can agree that 2% returns – returns implied by current valuations – are a problem. In the next article, we will propose one incremental solution to this problem, by embracing a strategy of extreme diversification. In part 3, we will explore alternative sources of return that behave very differently than traditional assets, but which may offer attractive performance prospects to help investors meet their financial goals.

[1] Current yields forecast future bond total returns most accurately at a forecast horizon equal to twice the portfolio duration. See Leibowitz, Martin, and Anthony Bova (December 18, 2012), “Duration Targeting: A New Look at Bond Portfolios (Morgan Stanley Research).” At


Here you can create the content that will be used within the module.


Confidential and proprietary information. The contents hereof may not be reproduced or disseminated without the express written permission of ReSolve Asset Management Inc. (“ReSolve”). ReSolve is registered as an investment fund manager in Ontario and Newfoundland and Labrador, and as a portfolio manager and exempt market dealer in Ontario, Alberta, British Columbia and Newfoundland and Labrador.
These materials do not purport to be exhaustive and although the particulars contained herein were obtained from sources ReSolve believes are reliable, ReSolve does not guarantee their accuracy or completeness. The contents hereof does not constitute an offer to sell or a solicitation of interest to purchase any securities or investment advisory services in any jurisdiction in which such offer or solicitation is not authorized.

Forward-Looking Information. The contents hereof may contain “forward-looking information” within the meaning of the Securities Act (Ontario) and equivalent legislation in other provinces and territories. Because such forward-looking information involves risks and uncertainties, actual performance results may differ materially from any expectations, projections or predictions made or implicated in such forward-looking information. Prospective investors are therefore cautioned not to place undue reliance on such forward-looking statements. In addition, in considering any prior performance information contained herein, prospective investors should bear in mind that past results are not necessarily indicative of future results, and there can be no assurance that results comparable to those discussed herein will be achieved. The contents hereof speaks as of the date hereof and neither ReSolve nor any affiliate or representative thereof assumes any obligation to provide subsequent revisions or updates to any historical or forward-looking information contained herein to reflect the occurrence of events and/or changes in circumstances after the date hereof.

General information regarding returns. Performance data prior to August, 2015 reflects the performance of accounts managed by Dundee Securities Ltd., which used the same investment decision makers, processes, objectives and strategies as ReSolve has used since it became registered and commenced operations in August, 2015. Records that document and support this past performance are available upon request. Performance is expressed in CAD, net of applicable management fees. Indicated returns of one year or more are annualized. Past performance is not indicative of future performance.

General information regarding the use of benchmarks. The indices listed have been selected for purposes of comparing performance with widely-known, broad-based benchmarks. Performance may or may not correlate to any of these indices and should not be considered as a proxy for any of these indices. The S&P/TSX Composite Index (Net TR) (“S&P TSX TR”) is the headline index and the principal broad market measure for the Canadian equity markets. The Standard & Poor’s 500 Composite Stock Price Index (“S&P 500”) is a capitalization-weighted index of 500 stocks intended to be a representative sample of leading companies in leading industries within the U.S. economy.

General information regarding hypothetical performance and simulated results. These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account or fund managed by ReSolve will or is likely to achieve profits or losses similar to those being shown. The results do not include other costs of managing a portfolio (such as custodial fees, legal, auditing, administrative or other professional fees). The contents hereof has not been reviewed or audited by an independent accountant or other independent testing firm. More detailed information regarding the manner in which the charts were calculated is available on request. Any actual fund or account that ReSolve manages will invest in different economic conditions, during periods with different volatility and in different securities than those incorporated in the hypothetical performance charts shown. There is no representation that any fund or account will perform as the hypothetical or other performance charts indicate.

General information regarding the simulation process. The systematic model used historical price data from Exchange Traded Funds (“ETFs”) representing the underlying asset classes in which it trades. Where ETF data was not available in earlier years, direct market data was used to create the trading signals. The hypothetical results shown are based on extensive models and calculations that are available for any potential investor to review before making a decision to invest.